1 | initial version |
no, you cannot do that.
while you can stop and restart your own training, and it will restart at the last stage computed before, you will need the whole original data (the "vec" file, remember ?) and all the previous cascades
you don't have this, so -- no way.
2 | No.2 Revision |
no, you cannot do that.
while you can stop and restart your own training, and it will restart at the last stage computed before, you will need the whole original data (the "vec" file, remember ?) and all the previous stage cascades
you don't have this, so -- no way.
3 | No.3 Revision |
no, you cannot do that.
while you can stop and restart your own training, and it will restart at the last stage computed before, you will need the whole original data (the "vec" file, remember ?) and all the previous stage cascades
you don't have this, so -- no way.
I am tryingto train a model from scratch, but with mixed results.
yea, you need tons of positives for this, might need 5k+ to improve the prebuilt cascades
4 | No.4 Revision |
no, you cannot do that.
while you can stop and restart your own training, and it will restart at the last stage computed before, you will need the whole original data (the "vec" file, remember ?) and all the previous stage cascades
you don't have this, so -- no way.
I am tryingto train a model from scratch, but with mixed results.
yea, you need tons of positives for this, might need 5k+ to improve the prebuilt cascades
My goal is for the script to recognise specific people
no, that won't work, either,
you need face recognition (who is it?) and this does face detection (face or not, and where ?)
5 | No.5 Revision |
no, you cannot do that.
while you can stop and restart your own training, and it will restart at the last stage computed before, you will need the whole original data (the "vec" file, remember ?) and all the previous stage cascades
you don't have this, so -- no way.
I am tryingto train a model from scratch, but with mixed results.
yea, you need tons of positives for this, might need 5k+ to improve the prebuilt cascades
My goal is for the script to recognise specific people
no, that won't work, either,
you need face recognition (who is it?) and this does face detection (face or not, and where ?)
(you probably try to train a cascade per person, just forget it, it's proven not to work)
6 | No.6 Revision |
no, you cannot do that.
while you can stop and restart your own training, and it will restart at the last stage computed before, you will need the whole original data (the "vec" file, remember ?) and all the previous stage cascades
you don't have this, so -- no way.
I am tryingto train a model from scratch, but with mixed results.
yea, you need tons of positives for this, might need 5k+ to improve get better than the prebuilt cascades
My goal is for the script to recognise specific people
no, that won't work, either,
you need face recognition (who is it?) and this does face detection (face or not, and where ?)
(you probably try to train a cascade per person, just forget it, it's proven not to work)
7 | No.7 Revision |
no, you cannot do that.
while you can stop and restart your own training, and it will restart at the last stage computed before, you will need the whole original data (the "vec" file, remember ?) and all the previous (temporary) stage cascades
you don't have this, this data, so -- no way.
I am tryingto train a model from scratch, but with mixed results.
yea, you need tons of positives for this, might need 5k+ to get better than the prebuilt cascades
My goal is for the script to recognise specific people
no, that won't work, either,
you need face recognition (who is it?) and this does face detection (face or not, and where ?)
(you probably try to train a cascade per person, just forget it, it's proven not to work)